code: def main(cfg):
      trainer = pl.Trainer(**cfg.trainer)
      exp_manager(trainer, cfg.get("exp_manager", None))
      model = RadTTSModel(cfg=cfg.model, trainer=trainer).cuda()
      if cfg.model.load_from_checkpoint:
          model.maybe_init_from_pretrained_checkpoint(cfg=cfg.model)
          prepare_model_weights(
              model, cfg.model.trainerConfig.unfreeze_modules
          )
      lr_logger = pl.callbacks.LearningRateMonitor()
      epoch_time_logger = LogEpochTimeCallback()
      trainer.callbacks.extend([lr_logger, epoch_time_logger])
      trainer.fit(model.cuda())
  
file_path: NeMo/examples/tts/radtts.py
imports: import pytorch_lightning
  from nemo.collections.common.callbacks import LogEpochTimeCallback
  from nemo.collections.tts.models.radtts import RadTTSModel
  from nemo.core.config import hydra_runner
  from nemo.utils import logging
  from nemo.utils.exp_manager import exp_manager
label_desc: Use image node_id 4 for calling a global function with example usage: main(cfg) without return types